Decentralized GNSS PPP-RTK

Hou, Pengyu; Zhang, Baocheng

doi:10.1007/s00190-023-01761-x

Cited by 5 publications

(3 citation statements)

References 49 publications

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“…During the PPP-RTK solution process, the tropospheric delay is usually divided into two parts: tropospheric zenith hydrostatic delay (ZHD) and ZWD (Hou and Zhang 2023). The ZHD accounts for about 90% of the tropospheric zenith total delay and can be accurately calculated using mature tropospheric models (Leandro et al 2008).…”

Section: Introductionmentioning

confidence: 99%

“…These two models normally use different approaches to solve the ZWD. For the user model, it can rely on the tropospheric ZWD correction information provided by the reference station network to construct an interpolation model (Hou and Zhang 2023), fitting model (Cui et al 2022), or grid model (Yin et al 2022) to obtain the ZWD at user location. Then, the user employs this information to correct or constrain the ZWD parameter in the PPP-RTK user model.…”

Section: Introductionmentioning

confidence: 99%

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Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation

Gao,

Liu,

Odolinski

et al. 2024

GPS Solut

Self Cite

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The precise point positioning real-time kinematic (PPP-RTK) is a high-precision global navigation satellite system (GNSS) positioning technique that combines the advantages of wide-area coverage in precise point positioning (PPP) and of rapid convergence in real-time kinematic (RTK). However, the PPP-RTK convergence is still limited by the precision of slant ionospheric delays and tropospheric zenith wet delay (ZWD), which affects the PPP-RTK network parameters estimation and user positioning performance. The present study aims to construct a PPP-RTK model augmented with a priori ZWD values derived from the global forecast system (GFS) product (a global numerical weather prediction (NWP) model) to improve the PPP-RTK performance. This study gives a priori ZWD values and conversion based on the GFS products, and the full-rank GFS-augmented undifferenced and uncombined (UDUC) PPP-RTK network model is derived. To verify the performance of GFS-augmented UDUC PPP-RTK, a comprehensive evaluation using 10-day GNSS observation data from three different GNSS station networks in the United States (US), Australia, and Europe is conducted. The results show that with the GFS ZWD a priori information, PPP-RTK performance significantly improves at the initial filtering stage, but this advantage gradually decays over time. Based on 10-day positioning results for all user stations, the GFS ZWD-augmented PPP-RTK approach reduces the average convergence time by 46% from 10.0 to 5.4 min, the three-dimensional root-mean-square (3D-RMS) error by 5.7% from 3.5 to 3.3 cm, and the time to first fix (TTFF) value by 35.8% from 6.7 to 4.3 min, all when compared to the traditional PPP-RTK without GFS ZWD constraints.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation

Gao,

Liu,

Odolinski

et al. 2024

GPS Solut

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, when using the ship position projection method for positioning, the positioning error will accumulate over time [9]. After years of development, GNSS (Global Navigation Satellite System) technology can achieve positioning accuracy in the decimeter or even centimeter range, providing highly accurate position information above the water surface [10][11][12]. The joint GNSS-A (acoustic) technology can provide a spatial and temporal reference for the establishment of ocean geodetic references and underwater positioning [13,14].…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Deep-Sea AUV Based on Multi-Sensor Integrated Navigation and Positioning

Liu,

Sun,

et al. 2024

Remote Sensing

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The operation of underwater vehicles in deep waters is a very challenging task. The use of AUVs (Autonomous Underwater Vehicles) is the preferred option for underwater exploration activities. They can be autonomously navigated and controlled in real time underwater, which is only possible with precise spatio-temporal information. Navigation and positioning systems based on LBL (Long-Baseline) or USBL (Ultra-Short-Baseline) systems have their own characteristics, so the choice of system is based on the specific application scenario. However, comparative experiments on AUV navigation and positioning under both systems are rarely conducted, especially in the deep sea. This study describes navigation and positioning experiments on AUVs in deep-sea scenarios and compares the accuracy of the USBL and LBL/SINS (Strap-Down Inertial Navigation System)/DVL (Doppler Velocity Log) modes. In practice, the accuracy of the USBL positioning mode is higher when the AUV is within a 60° observation range below the ship; when the AUV is far away from the ship, the positioning accuracy decreases with increasing range and observation angle, i.e., the positioning error reaches 80 m at 4000 m depth. The navigational accuracy inside and outside the datum array is high when using the LBL/SINS/DVL mode; if the AUV is far from the datum array when climbing to the surface, the LBL cannot provide accurate position calibration while the DVL fails, resulting in large deviations in the SINS results. In summary, the use of multi-sensor combination navigation schemes is beneficial, and accurate position information acquisition should be based on the demand and cost, while other factors should also be comprehensively considered; this paper proposes the use of the LBL/SINS/DVL system scheme.

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Multi-epoch PPP-RTK corrections: temporal characteristics, pitfalls and user-impact

Psychas,

Khodabandeh,

Teunissen

2024

J Geod

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Decentralized GNSS PPP-RTK

Cited by 5 publications

References 49 publications

Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation

Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation

Experimental Analysis of Deep-Sea AUV Based on Multi-Sensor Integrated Navigation and Positioning

Multi-epoch PPP-RTK corrections: temporal characteristics, pitfalls and user-impact

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